Comparison of spruce and beech tree attributes from field data, airborne and terrestrial laser scanning using manual and automatic methods
Sign Up to like & getrecommendations! Published in 2021 at "Remote Sensing Applications: Society and Environment"
DOI: 10.1016/j.rsase.2021.100574
Abstract: Abstract This study’s aim was to make a comparative analysis of airborne (ALS) and terrestrial (TLS) laser scanning and field data collection methods in estimating the tree attributes height (H), diameter at breast height (DBH),… read more here.
Keywords: tree attributes; field; laser scanning; spruce beech ... See more keywords
Comparison of semi-automatic and deep learning-based automatic methods for liver segmentation in living liver transplant donors.
Sign Up to like & getrecommendations! Published in 2020 at "Diagnostic and interventional radiology"
DOI: 10.5152/dir.2019.19025
Abstract: PURPOSE To compare the accuracy and repeatability of emerging machine learning based (i.e. deep) automatic segmentation algorithms with those of well-established semi-automatic (interactive) methods for determining liver volume in living liver transplant donors at computerized… read more here.
Keywords: semi automatic; segmentation; deep learning; liver ... See more keywords